Multiobjective constraints for climate model parameter choices: Pragmatic Pareto fronts in CESM1: MULTIOBJECTIVE CONSTRAINTS FOR CLIMATE MODEL PARAMETER CHOICES
Sign Up to like & getrecommendations! Published in 2017 at "Journal of Advances in Modeling Earth Systems"
DOI: 10.1002/2017ms000942
Abstract: Global climate models (GCMs) are examples of high-dimensional input-output systems, where model output is a function of many variables, and an update in model physics commonly improves performance in one objective function (i.e., measure of… read more here.
Keywords: climate model; multiobjective constraints; model parameter; model ... See more keywords
Poroelastic model parameter identification using artificial neural networks: on the effects of heterogeneous porosity and solid matrix Poisson ratio
Sign Up to like & getrecommendations! Published in 2020 at "Computational Mechanics"
DOI: 10.1007/s00466-020-01868-4
Abstract: Predictive analysis of poroelastic materials typically require expensive and time-consuming multiscale and multiphysics approaches, which demand either several simplifications or costly experimental tests for model parameter identification.This problem motivates us to develop a more efficient… read more here.
Keywords: parameter identification; poroelastic model; model parameter; model ... See more keywords
An open source pipeline for design of experiments for hyperelastic models of the skin with applications to keloids.
Sign Up to like & getrecommendations! Published in 2020 at "Journal of the mechanical behavior of biomedical materials"
DOI: 10.1016/j.jmbbm.2020.103999
Abstract: The aim of this work is to characterize the mechanical parameters governing the in-plane behavior of human skin and, in particular, of a keloid-scar. We consider 2D hyperelastic bi-material model of a keloid and the… read more here.
Keywords: model parameter; experimental measurements; model; design experiments ... See more keywords
Mono‐Model Parameter Joint Inversion by Gramian Constraints: EM Methods Examples
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DOI: 10.1029/2019ea000605
Abstract: Joint inversions of coincident geophysical data are usually constrained to produce more reliable subsurface models. Structural, petrophysical, model parameter correlation, empirical, and transforms are some of the published constraints. The Gramian constraint provides a broad… read more here.
Keywords: model; model parameter; joint inversion; gramian constraint ... See more keywords
Computations of predictors/estimators under a linear random-effects model with parameter restrictions
Sign Up to like & getrecommendations! Published in 2019 at "Communications in Statistics - Theory and Methods"
DOI: 10.1080/03610926.2018.1476714
Abstract: Abstract This paper considers the problem of simultaneously predicting/estimating unknown parameter spaces in a linear random-effects model with both parameter restrictions and missing observations. We shall establish explicit formulas for calculating the best linear unbiased… read more here.
Keywords: model parameter; parameter restrictions; random effects; effects model ... See more keywords
Signal extraction goodness-of-fit diagnostic tests under model parameter uncertainty: Formulations and empirical evaluation
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DOI: 10.1080/07474938.2016.1140277
Abstract: ABSTRACT We present a time-domain goodness-of-fit (gof) diagnostic test that is based on signal-extraction variances for nonstationary time series. This diagnostic test extends the time-domain gof statistic of Maravall (2003) by taking into account the… read more here.
Keywords: goodness fit; diagnostic test; model parameter; time ... See more keywords
Ising Model Parameter Estimation with Confidence Evaluation Using the Exchange Monte Carlo Method
Sign Up to like & getrecommendations! Published in 2019 at "Journal of the Physical Society of Japan"
DOI: 10.7566/jpsj.88.064802
Abstract: We propose a method to evaluate confidence of estimation of both the Ising coupling constant and observation noise intensity from the observed spin states. The Ising model has a variety of applicat... read more here.
Keywords: method; ising model; confidence; model parameter ... See more keywords